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Why this server?
Enables Claude to safely run Python code and access websites, which implies it can act as a Python code executor. Websites can be accessed through Docker.
Why this server?
Provides a secure way to execute Python code, acting as an interpreter. It could be configured to work with Docker.
Why this server?
Allows LLMs to execute Python code in a specified Conda environment, which can be containerized using Docker for consistent environments.
Why this server?
Although it is related to Windows, it provides the means to execute commands and could be configured to run Docker commands.
Why this server?
MCP Server for Docker operations, enabling container and compose stack management
Why this server?
Provides a secure JavaScript REPL server that enables executing code snippets in a sandboxed environment which can be contained in Docker.
Why this server?
A secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.
Why this server?
A MCP server that can run Kubernetes commands and provide interpretation of the commands. Can be used to execute commands inside Docker.
Why this server?
Create sandboxed local development environments directly from Github and execute tests, see coverage and more! Supports Python, Node, Bun and many test runners.
Why this server?
Allows AI models to run JavaScript/TypeScript code through Model Context Protocol tool calls, supporting both one-time script execution and stateful REPL sessions with npm package integration.